Bypass TruthScan with SynthGuard

TruthScan positions itself for serious verification work — newsroom fact-checking, insurance-claim review, and fraud investigation. Because its customers act on the result, it leans on multiple signals rather than a single classifier, which is why naïve filters and one-trick humanizers tend to fail against it.

The dominant axis is camera authenticity. Real photos carry a sensor-noise fingerprint and a frequency profile that diffusion models don't reproduce. SynthGuard's PRNU injection imprints a noise signature sampled from real camera profiles, and the FFT disruption layer adds calibrated noise in the exact high-frequency bands TruthScan inspects.

Metadata is the second axis. TruthScan treats missing EXIF and absent provenance as a strong prior toward AI. SynthGuard's EXIF generator writes a complete, internally consistent block — make, model, lens, exposure, white balance — instead of leaving the suspicious empty fields most generators produce.

Compression history is the subtle third axis. Camera photos go through a sensor → in-camera JPEG → re-compression chain; single-pass PNG exports from a generator don't. The JPEG double-compression layer reconstructs that chain at realistic quality levels.

Everything runs in your browser through the Web Worker pipeline — a 4K image processes in a couple of seconds and never leaves your device. Use the free /detector page to verify the result before you publish.